A two-tier control architecture for nonlinear process systems with continuous/asynchronous feedback

  • Authors:

  • Jinfeng Liu;David Muñoz De La Peña;Benjamin J. Ohran;Panagiotis D. Christofides;James F. Davis

  • Affiliations:

  • Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA;Departmento de Ingeniería de Sistemas y Automática Universidad de Sevilla, Sevilla, Spain;Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA;Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA and Department of Electrical Engineering, University of California, Los Angeles, CA;Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA

  • Venue:
  • ACC'09 Proceedings of the 2009 conference on American Control Conference
  • Year:
  • 2009

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Abstract

In this work, we introduce a two-tier control architecture for nonlinear process systems with both continuous and asynchronous sensing and/or actuation. This class of systems arises naturally in the context of process control systems based on hybrid communication networks (i.e, point-to-point wired links integrated with networked wired/wireless communication) and utilizing multiple heterogeneous measurements (e.g., temperature and concentration). Assuming that there exists a lower-tier control system which relies on point-to-point communication and continuous measurements to stabilize the closed-loop system, we propose to use Lyapunov-based model predictive control to design an upper-tier networked control system to profit from both the continuous and the asynchronous measurements as well as from additional networked control actuators. The proposed two-tier control system architecture preserves the stability properties of the lower-tier controller while improving the closed-loop performance. The theoretical results are demonstrated using a chemical process example.